Publication number: 20240030705
Abstract: The present invention provides an interpretable power load prediction method, system and terminal machine, relating to the field of power load prediction. The method comprises: initializing three factors—seasonal factor, trend factor, and smoothing factor, denoted as S1, T1, and I1 respectively; calculating states of the three factors for time t+1 in a current DeepES unit; outputting the three factors St+1, Tt+1, and It+1 to a next DeepES unit; repeating until a n-th DeepES unit completes its operation; calculating a predicted value Y based on the three factors that are outputted from a final DeepES unit. In power load prediction, constructing an interpretable prediction model enables users to understand the inference process of the model, therefore helps enhance the credibility of the model.
Type:
Application
Filed:
September 28, 2023
Publication date:
January 25, 2024
Inventors:
Qiang Li, Zhu Liu, Wenjing Li, Liyuan Gao, Yumin Liu, Feihu Huang, Xuxin Yang, Shilei Dong, Tianyang Li, Honglei Zhao, Meng Ming, Zhongyu Shang, Chunyang Li, Mingtao Cui, Peiyao Zhang, Hongyue Ma, Bin Dai, Dashuai Tan, Xiao Feng, Xiaokang Lin